Common Pitfalls in Python

Here are some common pitfalls in Python:

1. Using mutable objects as default values in function arguments can lead to unexpected behaviour. Instead, use immutable objects such as None or define the default value inside the function.

2. Modifying a list while iterating over it can lead to unexpected behaviour. Instead, create a new list with the modified elements.

3. Comparing floating-point numbers for equality can lead to unexpected results due to rounding errors. Instead, use a tolerance value and compare the absolute difference.

4. Using is to compare strings can lead to unexpected results due to string interning. Instead, use == to compare their values.

5. Using try and except blocks without specifying the specific exception can catch unexpected errors and lead to incorrect behaviour. Instead, use specific exception classes or use except Exception as a catch-all.

6. Using a mutable object as a key in a dictionary can lead to unexpected behaviour. Instead, use immutable objects such as strings or tuples.

7. Confusing the order of arguments in the range function can lead to unexpected results. The correct order is range(start, stop, step).

8. Modifying a module while it's being imported can lead to unexpected behaviour. Instead, use a separate initialization function or move the modifications to a separate module.

These are just a few examples of common pitfalls in Python. By being aware of these issues and following best practices, you can write more reliable and bug-free Python code.